#deepread
Live, measured metrics for the hashtag #deepread from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #deepread
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 22:44 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-28 22:44 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 22:44 UTCEverything below is measured over the latest 9 public posts (spanning ~7446 hours).
Posting hours (UTC)
Languages: English (9)
Avg boosts / post: 2.1
Top of the latest posts
Back in the days of 2021 there was a lovely evaluation paper: Automatically identifying label errors Improving score's reliability Finding example's difficulty Active Learning https://aclanthology.org/2021.acl-long.346/ @par @hoyle #machine
Did you know: Evaluating a single model on HELM took ⏱️4K GPU hours or 💸+10K$ in API calls?! Flash-HELM⚡️can reduce costs by X200! https://arxiv.org/abs/2308.11696 #deepRead #machinelearning #evaluation #eval #nlproc #NLP #LLM
The newFormer is introduced, but what do we really know about it? @ari and others imagine a new large-scale architecture & ask how would you interptret its abilities and behaviours 🧵 https://arxiv.org/abs/2308.00189 #deepRead #NLProc #Mach
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/deepread